Enticott J - Search Results

1

Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis.

Silva K, Lee WK, Forbes A, Demmer RT, Barton C, Enticott J. Silva K, et al. Among authors: enticott j. Int J Med Inform. 2020 Nov;143:104268. doi: 10.1016/j.ijmedinf.2020.104268. Epub 2020 Sep 7. Int J Med Inform. 2020. PMID: 32950874 Review.

2

Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: A retrospective cohort analysis using machine learning and unstructured big data.

De Silva K, Mathews N, Teede H, Forbes A, Jönsson D, Demmer RT, Enticott J. De Silva K, et al. Among authors: enticott j. Comput Biol Med. 2021 May;132:104305. doi: 10.1016/j.compbiomed.2021.104305. Epub 2021 Mar 4. Comput Biol Med. 2021. PMID: 33705995

3

Tabletop Board Game Elements and Gamification Interventions for Health Behavior Change: Realist Review and Proposal of a Game Design Framework.

Epstein DS, Zemski A, Enticott J, Barton C. Epstein DS, et al. Among authors: enticott j. JMIR Serious Games. 2021 Mar 31;9(1):e23302. doi: 10.2196/23302. JMIR Serious Games. 2021. PMID: 33787502 Free PMC article. Review.

4

Recruiting for research on sensitive topics in schools: an experience with Vaxcards, a collectable vaccine card game.

Epstein DS, Enticott JC, Larson HJ, Barton C. Epstein DS, et al. Among authors: enticott jc. Trials. 2021 May 3;22(1):320. doi: 10.1186/s13063-021-05288-4. Trials. 2021. PMID: 33941247 Free PMC article. Clinical Trial.

5

Nutritional markers of undiagnosed type 2 diabetes in adults: Findings of a machine learning analysis with external validation and benchmarking.

De Silva K, Lim S, Mousa A, Teede H, Forbes A, Demmer RT, Jönsson D, Enticott J. De Silva K, et al. Among authors: enticott j. PLoS One. 2021 May 5;16(5):e0250832. doi: 10.1371/journal.pone.0250832. eCollection 2021. PLoS One. 2021. PMID: 33951067 Free PMC article.

6

Pragmatic cluster randomised control trial using Vaxcards as an age-appropriate tool to incentivise and educate school students about vaccination.

Epstein D, Enticott J, Larson H, Barton C. Epstein D, et al. Among authors: enticott j. BMJ Open. 2021 Sep 2;11(9):e049562. doi: 10.1136/bmjopen-2021-049562. BMJ Open. 2021. PMID: 34475171 Free PMC article.

7

Use and performance of machine learning models for type 2 diabetes prediction in clinical and community care settings: Protocol for a systematic review and meta-analysis of predictive modeling studies.

De Silva K, Enticott J, Barton C, Forbes A, Saha S, Nikam R. De Silva K, et al. Among authors: enticott j. Digit Health. 2021 Sep 28;7:20552076211047390. doi: 10.1177/20552076211047390. eCollection 2021 Jan-Dec. Digit Health. 2021. PMID: 34868616 Free PMC article.

8

A data-driven biocomputing pipeline with meta-analysis on high throughput transcriptomics to identify genome-wide miRNA markers associated with type 2 diabetes.

De Silva K, Demmer RT, Jönsson D, Mousa A, Forbes A, Enticott J. De Silva K, et al. Among authors: enticott j. Heliyon. 2022 Feb 2;8(2):e08886. doi: 10.1016/j.heliyon.2022.e08886. eCollection 2022 Feb. Heliyon. 2022. PMID: 35169647 Free PMC article.

9

Causality of anthropometric markers associated with polycystic ovarian syndrome: Findings of a Mendelian randomization study.

De Silva K, Demmer RT, Jönsson D, Mousa A, Teede H, Forbes A, Enticott J. De Silva K, et al. Among authors: enticott j. PLoS One. 2022 Jun 9;17(6):e0269191. doi: 10.1371/journal.pone.0269191. eCollection 2022. PLoS One. 2022. PMID: 35679284 Free PMC article.

10

Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: a bioinformatics analytic workflow.

De Silva K, Demmer RT, Jönsson D, Mousa A, Forbes A, Enticott J. De Silva K, et al. Among authors: enticott j. Funct Integr Genomics. 2022 Oct;22(5):1003-1029. doi: 10.1007/s10142-022-00881-5. Epub 2022 Jul 5. Funct Integr Genomics. 2022. PMID: 35788821 Free PMC article.

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